~/talk

Accelerate Federated Learning Model Deployment with KServe (KFServing)

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The talk explains how KFServing (Kubeflow’s inference component) and KubeFATE (cloud‑native federated learning on Kubernetes) can be used together to serve federated learning models. It covers Kubeflow/KFServing and the InferenceService workflow, outlines federated learning fundamentals and algorithm/use‑case types, and demonstrates creating a KFServing deployment from a horizontally trained federated model.

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